Recruiting workflow

Use AI to clarify job descriptions, not invent requirements

AI can make job descriptions clearer and easier to read. The danger is letting it add requirements, inflate credentials, or introduce language that narrows the candidate pool without a job-related reason.

Job descriptions Bias check Hiring manager review

One-click AI pack

Export the job description workflow

Copy this workflow into ChatGPT, Claude, Gemini, or your approved internal AI tool. It packages the article into a practical assistant that drafts a job description, flags risky additions, and creates a review checklist.

The job description workflow

AI is most useful in job-description work when HR already has the real role requirements. It can organize, simplify, and flag language. It should not decide what the role requires.

The core failure mode is requirement inflation. A hiring manager provides a practical role description, the AI turns it into a polished but more demanding posting, and HR accidentally publishes a job that asks for unnecessary degrees, years of experience, tools, or "must-have" traits. That can reduce qualified applicants and create fairness concerns.

The workflow should begin with source material: the actual job duties, reporting line, salary band where appropriate, work location, schedule, essential functions, required qualifications, preferred qualifications, and interview criteria. The AI can then produce a clearer draft while explicitly preserving the source requirements.

Step What HR does What AI may do
1. Source Collect verified role duties and approved requirements. Ask clarifying questions; do not invent missing requirements.
2. Draft Give AI structure, tone, and constraints. Rewrite for clarity, readability, and organization.
3. Compare Check AI output against source requirements. Produce a change log and highlight additions.
4. Bias check Review language, accessibility, and necessity of criteria. Flag potentially exclusionary or vague phrasing.
5. Approve Hiring manager and HR approve the final posting. Generate final formatting only after approval.

A safer prompt for job descriptions

The prompt should force the model to stay inside the source material. The most important line is simple: do not add requirements.

You are helping HR rewrite a job description.

Use only the role information below.
Do not add new requirements, tools, degrees, certifications, years of experience, or personality traits.
If information is missing, ask questions instead of guessing.

Return:
1. Revised job description
2. List of changes you made
3. Any added claims or requirements you think may need approval
4. Potentially exclusionary, vague, or biased phrases
5. Questions for the hiring manager

Role information:
[paste verified duties, requirements, location, schedule, and benefits]

This prompt is not enough by itself. The team still needs review. AI can miss context, misunderstand legal requirements, or produce language that sounds neutral but narrows the candidate pool. HR should use the output as a draft and a checklist, not as the final posting.

What the reviewer should look for

  • Requirements that did not appear in the source material.
  • Years-of-experience language that is not tied to actual job need.
  • Degree requirements that are not necessary for the role.
  • Vague culture-fit language.
  • Physical requirements that are not essential functions.
  • Benefits, salary, location, or schedule claims that have not been approved.

Publication checklist

No new requirementsEvery required qualification is traceable to the role intake.
Clear required vs preferredNice-to-have items are not presented as mandatory.
Bias reviewLanguage is specific, job-related, and accessible.
Human approvalHR and the hiring manager approve the final posting.

FAQ

Can AI write the whole job description?

AI can draft the language, but HR should provide the real job duties and required qualifications. The model should not decide what the job requires.

Is AI useful for inclusive language?

Yes, as a review aid. Ask it to flag vague, exclusionary, or inaccessible language, then have HR review the suggestions against company policy and actual job needs.

Should AI generate interview questions from the job description?

It can create a draft question bank, but the final interview plan should be tied to validated competencies and used consistently across candidates.

Sources and further reading